In this project ,we defined features of phishing attack and we proposed a classification model in order to classification of the phishing attacks. This method consists of feature extraction from websites and classification section. In the feature extraction, we have clearly defined rules of phishing feature extraction and these rules have been used for obtaining features. In order to classification of these feature, SVM, NB and ELM were used. In the ELM, 6 different activation functions were used and ELM achieved highest accuracy score.

Aim of this project is managing a particular Hotel through online. User can get the complete information about the Hotel from internet.it automates the several manual processes. It is the beneficial project for the user and owners. United States,Canada , United Kingdom and Australia people are mainly using this kind of projects.